Instructions to use jonatasgrosman/exp_w2v2t_it_unispeech-ml_s784 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_it_unispeech-ml_s784 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_it_unispeech-ml_s784")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_it_unispeech-ml_s784") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_it_unispeech-ml_s784", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
0ecc87b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:18293be1aa0548aafe0a43dccc922dc8ca06f7a592f854ba90374b0aab50bb23
size 78927405
|